Statistical Methods for Manufacturing


Statistics is concerned with maintaining and improving the quality of goods and services. Variability is inherent in all processes, whether they be manufacturing processes or service processes. This variability must be controlled to create high quality goods and services and must be reduced to improve quality.  This module examines variability in manufacturing processes and introduces the statistical methods,tools and techniques for reducing this variation. Process stability and capability are  covered in addition to Experimental Design, Six Sigma and Lean manufacturing.

Learning Outcomes

  1. Implement process monitoring for a wide variety of different processes by selecting the most appropriate SPC chart

  2. Evaluate the stability of a manufacturing or service process using Statistical Process Control and assess the capability of the process  to conform to customer specifications by conducting a PCA study

  3. Justify the implementation of a Lean Six Sigma project and execute various techniques as appropriate to each phase

  4. Produce a rudimentary Failure Mode and Effects Analysis [FMEA] for a process

  5. Examine Cause-and-Effect relationships using Experimental Design and interpret the results of  ANOVA.

% Coursework 30%
% Final Exam 70%